Decision Making Using AI in Energy and Sustainability
Produktnummer:
18b10aae2a493e4100b6cd58a7aea32136
Themengebiete: | Electricity Demand Prediction European Green Deal Power-Split Hybrid Electric Vehicles Residential microgrid Management Smart cities and clean energy Smart city profile Solar Radiation Sustainable circular supplier selection The UN SDGs Wind Energy Power Forecast |
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Veröffentlichungsdatum: | 17.10.2024 |
EAN: | 9783031383892 |
Sprache: | Englisch |
Seitenzahl: | 312 |
Produktart: | Kartoniert / Broschiert |
Herausgeber: | Kayakutlu, Gülgün Kayalica, M. Özgür |
Verlag: | Springer International Publishing |
Untertitel: | Methods and Models for Policy and Practice |
Produktinformationen "Decision Making Using AI in Energy and Sustainability"
Artificial intelligence (AI) has a huge impact on science and technology, including energy, where access to resources has been a source of geopolitical conflicts. AI can predict the demand and supply of renewable energy, optimize efficiency in energy systems, and improve the management of natural energy resources, among other things. This book explores the use of AI tools for improving the management of energy systems and providing sustainability with smart cities, smart facilities, smart buildings, smart transportation, and smart houses. Featuring research from International Federation for Information Processing's (IFIP) “AI in Energy and Sustainability” working group, this book provides new models and algorithms for AI applications in energy and sustainability fields. Any short-term, mid-term and long-term forecasting, optimization models, trend foresights and prescriptions based on scenarios are studied in the energy world and the smart systems for sustainability. The contents of this book are valuable for energy researchers, academics, scholars, practitioners and policy makers.

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